{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The Architecture Of The BPTK_PY Framework\n",
    "\n",
    "This document explains the overall architecture of the BPTK framework.\n",
    "\n",
    "## BPTK Building Blocks\n",
    "\n",
    "The BPTK framework was designed to meet a number of objectives:\n",
    "\n",
    "* Provide the modeler and analyst working in a Jupyter notebook environment with a easy to use API, bearing in mind that such analysts may not be expert Python developers.\n",
    "* Provide the ability to run simulations standalone (i.e. outside of a notebook environment)\n",
    "* Focus on modeling and simulation and reuse libraries such as [Pandas](http://pandas.pydata.org) and [Matplotlib](http://www.matplotlib.org) for manipulating and plotting simulation results.\n",
    "\n",
    "Currently the framework has five conceptual building blocks:\n",
    "\n",
    "* *ABM and SD Modeling.* A component that allows you to build and run simulations in Python, using an Agent-based modeling approach, a System Dynamics modelling approach or both (\"hybrid models\"). This component contains a number of classes that you will need to build such models - please read the notebooks on [agent-based modeling](../../../abm/in-depth/in_depth_agent_based_modeling/in_depth_agent_based_modeling.ipynb) and [System Dynamics modeling](../../../sd-dsl/in-depth/in_depth_simple_python_library_sd_dsl/in_depth_simple_python_library_sd_dsl.ipynb) to learn more about these classes.\n",
    "* *SD Transpiler.* A component that (automatically) translates System Dynamic models conforming to the XMILE standard into Python code.\n",
    "* *Scenario Management.* A component that lets you define and manage simulation scenarios in a uniform manner. A scenario is a model and a set of initial values for the simulation parameters. Scenarios are a powerful tool, because they enable you to easily compare the results of running the same simulation with different parameters to each other, which is something you have to do frequently when working with simulations.\n",
    "* *Visualisation.* A component that visualises the results produced by simulations, in the form of plots or dashboards.\n",
    "* *BPTK API.* A high level API that lets you interact with the other components using a simple and uniform API. In particular, this component allows you to run scenarios and plot scenario results from both models created in Python or translated from XMILE in a uniform manner.\n",
    "\n",
    "To use the framework, the modeler needs to build simulation models, either directly Python (AB/SD Model) or in XMILE (using an XMILE compatible SD modeling tool, such as isee systems Stella). A model created in Python is essentially a subclass of the AB and SD Modeling component, while the XMILE models are transpiled into such a subclass by the SD Transpiler component.\n",
    "\n",
    "How does the framework know which models to compile? This is what the scenario config files are for - the modeler uses these to define scenario parameters and to identify the model that is relevant for a particular scenario. The model is then either the name of a Python class or the name of an XMILE model.\n",
    "\n",
    "The diagram below shows these building blocks and their dependencies.\n",
    "\n",
    "![BPTK Components](BPTK_Components.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How The Components Work Together At Runtime\n",
    "\n",
    "Now let's see what happens at runtime, assuming that we are in a Jupyter notebook.\n",
    "\n",
    "First of all we initialize the framework by creating a ``bptk`` object. This automatically causes the framework to read all scenario config files from the ``scenario`` directory. The location of this directory can be configured in the frameworks config file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## BPTK Package\n",
    "from BPTK_Py.bptk import bptk \n",
    "\n",
    "bptk = bptk()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Depending on whether a scenario relates to a Python model or an XMILE model, the scenario will either be a correctly configured instance of the Python model or it will contain all the equations transpiled from the XMILE model.\n",
    "\n",
    "At this stage, all scenario managers, scenarios and models have been instantiated and configured according to the scenario definitions, but the simulations have not run yet.\n",
    "\n",
    "You can easily test the transpiler by deleting the transpiled Python classes from the scenario manager directory - the scenario manager notices this and automatically re-transpiles the model. This behaviour is particularly useful when building XMILE models and testing scenarios in a Jupyter notebook in parallel. As soon as you change the XMILE model, the model is re-transpiled into Python. Now all you need to do is reset the model in the Jupyter notebook and the Python class is then automatically reloaded.\n",
    "\n",
    "\n",
    "The following piece of code lists all the scenarios that have been loaded:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Available Scenario Managers and Scenarios:\n",
      "\n",
      "\n",
      "*** smSimpleProjectManagement ***\n",
      "\t base\n",
      "\t scenario100\n",
      "\t scenario80\n",
      "\t scenario120\n",
      "\t scenario100WithPoints\n"
     ]
    }
   ],
   "source": [
    "print()\n",
    "print(\"Available Scenario Managers and Scenarios:\")\n",
    "print()\n",
    "managers = bptk.scenario_manager_factory.get_scenario_managers()\n",
    "\n",
    "for key, manager in managers.items():\n",
    "     print(\"\")\n",
    "     print(\"*** {} ***\".format(key))\n",
    "\n",
    "     for name in manager.get_scenario_names():\n",
    "         print(\"\\t {}\".format(name))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Back to our discussion of ``bptk.plot_scenario``: So far, the scenarios have been loaded, but not simulated yet (which is good, because there could potentially be very many scenarios and you probably don't want to run them all at once).\n",
    "\n",
    "To run a scenario, you could ``bptk.run_simulation`` with the appropriate parameters – this methods runs the given scenarios and returns a dataset. But in most cases you probably want to visualise the results directly, in which case ``bptk.plot_scenario`` is the method to use.\n",
    "\n",
    "Let's choose one of the scenarios from the list above, e.g. the ``scenario120`` from the ``smSimpleProjectManagement`` scenario manager. You can run the simulation and plot the behaviour of the open tasks and closed tasks using the following command:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "   bptk.plot_scenarios(\n",
    "        scenario_managers=[\"smSimpleProjectManagement\"],\n",
    "        scenarios=[\"scenario120\"],\n",
    "        equations=['openTasks',\"closedTasks\"],\n",
    "        title=\"plot_scenarios Results\",\n",
    "        x_label=\"Date\",\n",
    "        y_label=\"Open / Closed Tasks\",\n",
    "        start_date=\"1/11/2017\",\n",
    "        freq=\"D\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What happens behind the scenes in order to produce this result?\n",
    "\n",
    "As mentioned above, the ``bptk`` object doesn't contain much logic of its own, because we want to decouple the API from the components that actually *do* the heavy lifting.\n",
    "\n",
    "The BPTK API calls the scenario manager to run the scenario.\n",
    "\n",
    "The scenario manager checks its internal simulation cache to see whether the scenario has already been run - if so, it passes the dataframe containing the simulation results from the cache to the visualisation component, which creates the relevant plot.\n",
    "\n",
    "This caching behaviour is essential – it means you do not need to re-run the scenario to plot the results from another equations or agent, you just need to look up the result in the cache. Without the cache, you would have to run the simulation again for every plot, which could take quite some time depending on the size and complexity of the model.\n",
    "\n",
    "If there is no data in the cache, the scenario manager runs the scenario by calling its ``run`` method, and then passes the dataframe to the ``visualisation`` component.\n",
    "\n",
    "## Summary\n",
    "\n",
    "Even though the API of the ``bptk`` object is simple, there is actually quite a lot going on behind the scenes. Because the components only communicate via well-defined interfaces, the scenario manager can treat both ABM, native SD and transpiled SD models in a similar fashion. The framework could also be easily extended to deal with other kinds of simulations.\n"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "5721abfe33942d351f7b09905420df100ba8c34b49fc290848df1028bfa2da07"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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